Overview

Brought to you by YData

Dataset statistics

Number of variables25
Number of observations29740
Missing cells52107
Missing cells (%)7.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 MiB
Average record size in memory200.0 B

Variable types

Text14
Categorical7
Numeric3
Unsupported1

Alerts

location has constant value "Bremen" Constant
repositoryName has constant value "['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']" Constant
eventType has constant value "Herstellung" Constant
classification is highly overall correlated with role and 1 other fieldsHigh correlation
earliestDate is highly overall correlated with latestDateHigh correlation
latestDate is highly overall correlated with earliestDate and 2 other fieldsHigh correlation
role is highly overall correlated with classification and 1 other fieldsHigh correlation
type is highly overall correlated with classification and 1 other fieldsHigh correlation
type is highly imbalanced (86.7%) Imbalance
classification is highly imbalanced (83.8%) Imbalance
rightsStatement is highly imbalanced (99.8%) Imbalance
imageUrl has 1601 (5.4%) missing values Missing
material has 5914 (19.9%) missing values Missing
subject has 11166 (37.5%) missing values Missing
nationality has 29740 (100.0%) missing values Missing
rightsStatement has 1601 (5.4%) missing values Missing
workID has 1581 (5.3%) missing values Missing
lidoRecordId has unique values Unique
recordID has unique values Unique
recordLinks has unique values Unique
nationality is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2025-05-22 11:45:11.414115
Analysis finished2025-05-22 11:45:14.879882
Duration3.47 seconds
Software versionydata-profiling v4.16.1
Download configurationconfig.json

Variables

lidoRecordId
Text

Unique 

Distinct29740
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
2025-05-22T13:45:14.939269image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length24.050034
Min length21

Characters and Unicode

Total characters715248
Distinct characters21
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29740 ?
Unique (%)100.0%

Sample

1st rowDE-MUS-027614/lido/94265
2nd rowDE-MUS-027614/lido/84536
3rd rowDE-MUS-027614/lido/84537
4th rowDE-MUS-027614/lido/13286
5th rowDE-MUS-027614/lido/54019
ValueCountFrequency (%)
de-mus-027614/lido/94265 1
 
< 0.1%
de-mus-027614/lido/112310 1
 
< 0.1%
de-mus-027614/lido/54019 1
 
< 0.1%
de-mus-027614/lido/94199 1
 
< 0.1%
de-mus-027614/lido/54018 1
 
< 0.1%
de-mus-027614/lido/94198 1
 
< 0.1%
de-mus-027614/lido/58959 1
 
< 0.1%
de-mus-027614/lido/58958 1
 
< 0.1%
de-mus-027614/lido/82551 1
 
< 0.1%
de-mus-027614/lido/82550 1
 
< 0.1%
Other values (29730) 29730
> 99.9%
2025-05-22T13:45:15.074839image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 59480
 
8.3%
- 59480
 
8.3%
1 48461
 
6.8%
2 46751
 
6.5%
4 45234
 
6.3%
0 43239
 
6.0%
6 42394
 
5.9%
7 40627
 
5.7%
o 29740
 
4.2%
d 29740
 
4.2%
Other values (11) 270102
37.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 715248
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
/ 59480
 
8.3%
- 59480
 
8.3%
1 48461
 
6.8%
2 46751
 
6.5%
4 45234
 
6.3%
0 43239
 
6.0%
6 42394
 
5.9%
7 40627
 
5.7%
o 29740
 
4.2%
d 29740
 
4.2%
Other values (11) 270102
37.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 715248
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
/ 59480
 
8.3%
- 59480
 
8.3%
1 48461
 
6.8%
2 46751
 
6.5%
4 45234
 
6.3%
0 43239
 
6.0%
6 42394
 
5.9%
7 40627
 
5.7%
o 29740
 
4.2%
d 29740
 
4.2%
Other values (11) 270102
37.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 715248
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
/ 59480
 
8.3%
- 59480
 
8.3%
1 48461
 
6.8%
2 46751
 
6.5%
4 45234
 
6.3%
0 43239
 
6.0%
6 42394
 
5.9%
7 40627
 
5.7%
o 29740
 
4.2%
d 29740
 
4.2%
Other values (11) 270102
37.8%

imageUrl
Text

Missing 

Distinct28139
Distinct (%)100.0%
Missing1601
Missing (%)5.4%
Memory size232.5 KiB
2025-05-22T13:45:15.176608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length154
Median length76
Mean length76.051885
Min length73

Characters and Unicode

Total characters2140024
Distinct characters40
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28139 ?
Unique (%)100.0%

Sample

1st rowhttps://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/94265/136370
2nd rowhttps://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/84536/125621
3rd rowhttps://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/84537/127749
4th rowhttps://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/13286/127920
5th rowhttps://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/54019/110938
ValueCountFrequency (%)
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/94265/136370 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/112310/161172 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/94199/153897 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/54018/110940 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/94198/153823 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/58959/108338 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/58958/108424 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/82551/125711 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/82550/127092 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/83357/126288 1
 
< 0.1%
Other values (28132) 28132
> 99.9%
2025-05-22T13:45:15.326136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 168852
 
7.9%
e 168852
 
7.9%
t 140710
 
6.6%
n 112568
 
5.3%
l 112568
 
5.3%
1 94209
 
4.4%
a 84426
 
3.9%
o 84426
 
3.9%
- 84426
 
3.9%
2 63570
 
3.0%
Other values (30) 1025417
47.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2140024
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
/ 168852
 
7.9%
e 168852
 
7.9%
t 140710
 
6.6%
n 112568
 
5.3%
l 112568
 
5.3%
1 94209
 
4.4%
a 84426
 
3.9%
o 84426
 
3.9%
- 84426
 
3.9%
2 63570
 
3.0%
Other values (30) 1025417
47.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2140024
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
/ 168852
 
7.9%
e 168852
 
7.9%
t 140710
 
6.6%
n 112568
 
5.3%
l 112568
 
5.3%
1 94209
 
4.4%
a 84426
 
3.9%
o 84426
 
3.9%
- 84426
 
3.9%
2 63570
 
3.0%
Other values (30) 1025417
47.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2140024
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
/ 168852
 
7.9%
e 168852
 
7.9%
t 140710
 
6.6%
n 112568
 
5.3%
l 112568
 
5.3%
1 94209
 
4.4%
a 84426
 
3.9%
o 84426
 
3.9%
- 84426
 
3.9%
2 63570
 
3.0%
Other values (30) 1025417
47.9%

type
Categorical

High correlation  Imbalance 

Distinct26
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
Druckgraphik; Druckgraphik
26705 
Zeichnung; Zeichnung
 
2332
Studie; Studie
 
254
Skizze; Skizze
 
126
Illustration/Buchillustration
 
115
Other values (21)
 
208

Length

Max length42
Median length26
Mean length25.356288
Min length10

Characters and Unicode

Total characters754096
Distinct characters39
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)< 0.1%

Sample

1st rowDruckgraphik; Druckgraphik
2nd rowDruckgraphik; Druckgraphik
3rd rowDruckgraphik; Druckgraphik
4th rowDruckgraphik; Druckgraphik
5th rowDruckgraphik; Druckgraphik

Common Values

ValueCountFrequency (%)
Druckgraphik; Druckgraphik 26705
89.8%
Zeichnung; Zeichnung 2332
 
7.8%
Studie; Studie 254
 
0.9%
Skizze; Skizze 126
 
0.4%
Illustration/Buchillustration 115
 
0.4%
Entwurf; Entwurf 35
 
0.1%
vorbereitende Studie 28
 
0.1%
Scheibenriss; Scheibenriss 18
 
0.1%
Mappenwerk; Mappenwerk 17
 
0.1%
Entwurfsskizze 14
 
< 0.1%
Other values (16) 96
 
0.3%

Length

2025-05-22T13:45:15.384522image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
druckgraphik 53410
90.0%
zeichnung 4672
 
7.9%
studie 536
 
0.9%
skizze 252
 
0.4%
illustration/buchillustration 115
 
0.2%
entwurf 70
 
0.1%
scheibenriss 36
 
0.1%
mappenwerk 34
 
0.1%
karikatur 33
 
0.1%
vorbereitende 28
 
< 0.1%
Other values (17) 170
 
0.3%

Most occurring characters

ValueCountFrequency (%)
r 107432
14.2%
k 107212
14.2%
i 59497
7.9%
u 59194
7.8%
c 58331
7.7%
h 58328
7.7%
g 58144
7.7%
a 53833
7.1%
p 53480
7.1%
D 53419
7.1%
Other values (29) 85226
11.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 754096
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
r 107432
14.2%
k 107212
14.2%
i 59497
7.9%
u 59194
7.8%
c 58331
7.7%
h 58328
7.7%
g 58144
7.7%
a 53833
7.1%
p 53480
7.1%
D 53419
7.1%
Other values (29) 85226
11.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 754096
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
r 107432
14.2%
k 107212
14.2%
i 59497
7.9%
u 59194
7.8%
c 58331
7.7%
h 58328
7.7%
g 58144
7.7%
a 53833
7.1%
p 53480
7.1%
D 53419
7.1%
Other values (29) 85226
11.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 754096
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
r 107432
14.2%
k 107212
14.2%
i 59497
7.9%
u 59194
7.8%
c 58331
7.7%
h 58328
7.7%
g 58144
7.7%
a 53833
7.1%
p 53480
7.1%
D 53419
7.1%
Other values (29) 85226
11.3%

material
Text

Missing 

Distinct424
Distinct (%)1.8%
Missing5914
Missing (%)19.9%
Memory size232.5 KiB
2025-05-22T13:45:15.434947image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length171
Median length144
Mean length50.042768
Min length2

Characters and Unicode

Total characters1192319
Distinct characters88
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique338 ?
Unique (%)1.4%

Sample

1st rowHolzschnitt; Holzschnitt (Druckverfahren)
2nd rowLithographie; Lithographie (Druckverfahren)
3rd rowRadierung; Radierung (Druckverfahren)
4th rowHolzschnitt; Holzschnitt (Druckverfahren)
5th rowLithographie; Lithographie (Druckverfahren)
ValueCountFrequency (%)
druckverfahren 30217
33.9%
kupferstich 16104
18.1%
radierung 15912
17.9%
lithographie 8740
 
9.8%
holzschnitt 8586
 
9.6%
aquatinta 1512
 
1.7%
farbholzschnitt 1274
 
1.4%
kaltnadel 1140
 
1.3%
farblithographie 816
 
0.9%
collé-druck 790
 
0.9%
Other values (516) 4051
 
4.5%
2025-05-22T13:45:15.552783image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 136206
 
11.4%
e 106688
 
8.9%
h 77901
 
6.5%
i 65735
 
5.5%
65316
 
5.5%
u 65036
 
5.5%
a 63975
 
5.4%
n 60697
 
5.1%
c 58176
 
4.9%
t 51891
 
4.4%
Other values (78) 440698
37.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1192319
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
r 136206
 
11.4%
e 106688
 
8.9%
h 77901
 
6.5%
i 65735
 
5.5%
65316
 
5.5%
u 65036
 
5.5%
a 63975
 
5.4%
n 60697
 
5.1%
c 58176
 
4.9%
t 51891
 
4.4%
Other values (78) 440698
37.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1192319
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
r 136206
 
11.4%
e 106688
 
8.9%
h 77901
 
6.5%
i 65735
 
5.5%
65316
 
5.5%
u 65036
 
5.5%
a 63975
 
5.4%
n 60697
 
5.1%
c 58176
 
4.9%
t 51891
 
4.4%
Other values (78) 440698
37.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1192319
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
r 136206
 
11.4%
e 106688
 
8.9%
h 77901
 
6.5%
i 65735
 
5.5%
65316
 
5.5%
u 65036
 
5.5%
a 63975
 
5.4%
n 60697
 
5.1%
c 58176
 
4.9%
t 51891
 
4.4%
Other values (78) 440698
37.0%
Distinct4192
Distinct (%)14.1%
Missing4
Missing (%)< 0.1%
Memory size232.5 KiB
2025-05-22T13:45:15.667053image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length59
Median length58
Mean length7.60758
Min length1

Characters and Unicode

Total characters226219
Distinct characters60
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2023 ?
Unique (%)6.8%

Sample

1st rowum 1550-1555
2nd row1807-1845
3rd rowum 1910
4th row1878-1880
5th rowum 1496/7
ValueCountFrequency (%)
um 2923
 
7.7%
jahrhundert 1351
 
3.6%
vor 1278
 
3.4%
16 844
 
2.2%
nach 827
 
2.2%
1632-1635 489
 
1.3%
1520 445
 
1.2%
17 294
 
0.8%
hälfte 251
 
0.7%
1550-1555 233
 
0.6%
Other values (3436) 28872
76.4%
2025-05-22T13:45:15.849788image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 49803
22.0%
8 23772
10.5%
5 20239
 
8.9%
6 14514
 
6.4%
- 11530
 
5.1%
7 11248
 
5.0%
2 9901
 
4.4%
3 9775
 
4.3%
0 9284
 
4.1%
4 8463
 
3.7%
Other values (50) 57690
25.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 226219
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 49803
22.0%
8 23772
10.5%
5 20239
 
8.9%
6 14514
 
6.4%
- 11530
 
5.1%
7 11248
 
5.0%
2 9901
 
4.4%
3 9775
 
4.3%
0 9284
 
4.1%
4 8463
 
3.7%
Other values (50) 57690
25.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 226219
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 49803
22.0%
8 23772
10.5%
5 20239
 
8.9%
6 14514
 
6.4%
- 11530
 
5.1%
7 11248
 
5.0%
2 9901
 
4.4%
3 9775
 
4.3%
0 9284
 
4.1%
4 8463
 
3.7%
Other values (50) 57690
25.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 226219
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 49803
22.0%
8 23772
10.5%
5 20239
 
8.9%
6 14514
 
6.4%
- 11530
 
5.1%
7 11248
 
5.0%
2 9901
 
4.4%
3 9775
 
4.3%
0 9284
 
4.1%
4 8463
 
3.7%
Other values (50) 57690
25.5%

earliestDate
Real number (ℝ)

High correlation 

Distinct489
Distinct (%)1.6%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1709.7896
Minimum1300
Maximum1987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size232.5 KiB
2025-05-22T13:45:15.915847image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1300
5-th percentile1501
Q11555
median1754
Q31838
95-th percentile1887
Maximum1987
Range687
Interquartile range (IQR)283

Descriptive statistics

Standard deviation142.86149
Coefficient of variation (CV)0.083555012
Kurtosis-1.5276459
Mean1709.7896
Median Absolute Deviation (MAD)116
Skewness-0.24299004
Sum50844014
Variance20409.406
MonotonicityNot monotonic
2025-05-22T13:45:16.029186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1501 826
 
2.8%
1632 521
 
1.8%
1519 418
 
1.4%
1550 397
 
1.3%
1515 375
 
1.3%
1830 348
 
1.2%
1510 333
 
1.1%
1500 327
 
1.1%
1520 320
 
1.1%
1848 315
 
1.1%
Other values (479) 25557
85.9%
ValueCountFrequency (%)
1300 2
 
< 0.1%
1400 1
 
< 0.1%
1401 97
0.3%
1435 1
 
< 0.1%
1450 6
 
< 0.1%
1455 4
 
< 0.1%
1460 4
 
< 0.1%
1465 11
 
< 0.1%
1467 1
 
< 0.1%
1470 31
 
0.1%
ValueCountFrequency (%)
1987 1
 
< 0.1%
1979 1
 
< 0.1%
1973 1
 
< 0.1%
1971 1
 
< 0.1%
1967 1
 
< 0.1%
1965 1
 
< 0.1%
1963 1
 
< 0.1%
1962 1
 
< 0.1%
1961 1
 
< 0.1%
1959 5
< 0.1%

latestDate
Real number (ℝ)

High correlation 

Distinct495
Distinct (%)1.7%
Missing3
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean1732.0453
Minimum151
Maximum2010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size232.5 KiB
2025-05-22T13:45:16.084309image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum151
5-th percentile1519
Q11600
median1778
Q31851
95-th percentile1900
Maximum2010
Range1859
Interquartile range (IQR)251

Descriptive statistics

Standard deviation138.74472
Coefficient of variation (CV)0.080104557
Kurtosis0.15766336
Mean1732.0453
Median Absolute Deviation (MAD)103
Skewness-0.44279683
Sum51505831
Variance19250.098
MonotonicityNot monotonic
2025-05-22T13:45:16.140225image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1600 781
 
2.6%
1635 600
 
2.0%
1700 534
 
1.8%
1520 496
 
1.7%
1825 383
 
1.3%
1800 375
 
1.3%
1555 331
 
1.1%
1831 308
 
1.0%
1530 303
 
1.0%
1550 298
 
1.0%
Other values (485) 25328
85.2%
ValueCountFrequency (%)
151 1
 
< 0.1%
165 1
 
< 0.1%
185 1
 
< 0.1%
1399 2
 
< 0.1%
1468 1
 
< 0.1%
1470 4
 
< 0.1%
1471 2
 
< 0.1%
1472 2
 
< 0.1%
1475 22
0.1%
1476 2
 
< 0.1%
ValueCountFrequency (%)
2010 2
 
< 0.1%
2000 2
 
< 0.1%
1987 1
 
< 0.1%
1979 1
 
< 0.1%
1969 1
 
< 0.1%
1965 1
 
< 0.1%
1963 1
 
< 0.1%
1962 1
 
< 0.1%
1961 1
 
< 0.1%
1959 8
< 0.1%

subject
Text

Missing 

Distinct15713
Distinct (%)84.6%
Missing11166
Missing (%)37.5%
Memory size232.5 KiB
2025-05-22T13:45:16.240846image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length1056
Median length466
Mean length150.2139
Min length3

Characters and Unicode

Total characters2790073
Distinct characters129
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14520 ?
Unique (%)78.2%

Sample

1st rowNoahs Trunkenheit; Trunkenheit
2nd rowJugendlicher, Heranwachsender; Jugendlicher; Vieh hüten; Hirt, Hirtin, Schafhirt, Schafhirtin, Kuhhirt etc.; Hirte; Hirte; Almosen geben; andere Formen der Barmherzigkeit, z.B.: Lebensmittel ausgeben; Nächstenliebe; Barmherzigkeit; Almosen; Speise; geben
3rd rowKunsthändler; Kopf (als Teil des menschlichen Körpers); Kopf; erwachsener Mann; Erwachsenenalter; historische Person (VOLLARD, Ambroise) - Porträt einer historischen Person (VOLLARD, Ambroise) (VOLLARD, Ambroise) (+ verschiedene Ansichten einer Person in einer Darstellung); Name; historische Person; Porträt; Mensch; Mann; Knabe; Junge; Identität
4th rowden Boden fruchtbar machen, düngen; Fruchtbarkeit; düngen; Bauern - AA - Bäuerin, Bauersfrau; Ehefrau; Gattin; Bauersfrau; Bauernhof
5th rowin eine Stadt oder Festung eindringen (bei einer Belagerung); Festung; Stadtmauer; Verteidigung einer Festung oder Stadt; Fortifikation; Befestigung; Stadt
ValueCountFrequency (%)
12801
 
3.8%
der 5430
 
1.6%
und 4603
 
1.4%
person 4467
 
1.3%
porträt 4440
 
1.3%
mit 4078
 
1.2%
mann 3570
 
1.1%
historische 3251
 
1.0%
einer 3077
 
0.9%
von 2986
 
0.9%
Other values (12691) 287747
85.5%
2025-05-22T13:45:16.405557image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 324129
 
11.6%
317876
 
11.4%
n 186729
 
6.7%
r 179563
 
6.4%
i 151142
 
5.4%
t 146535
 
5.3%
a 134224
 
4.8%
; 122692
 
4.4%
s 109809
 
3.9%
h 86448
 
3.1%
Other values (119) 1030926
36.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2790073
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 324129
 
11.6%
317876
 
11.4%
n 186729
 
6.7%
r 179563
 
6.4%
i 151142
 
5.4%
t 146535
 
5.3%
a 134224
 
4.8%
; 122692
 
4.4%
s 109809
 
3.9%
h 86448
 
3.1%
Other values (119) 1030926
36.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2790073
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 324129
 
11.6%
317876
 
11.4%
n 186729
 
6.7%
r 179563
 
6.4%
i 151142
 
5.4%
t 146535
 
5.3%
a 134224
 
4.8%
; 122692
 
4.4%
s 109809
 
3.9%
h 86448
 
3.1%
Other values (119) 1030926
36.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2790073
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 324129
 
11.6%
317876
 
11.4%
n 186729
 
6.7%
r 179563
 
6.4%
i 151142
 
5.4%
t 146535
 
5.3%
a 134224
 
4.8%
; 122692
 
4.4%
s 109809
 
3.9%
h 86448
 
3.1%
Other values (119) 1030926
36.9%
Distinct2190
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
2025-05-22T13:45:16.491144image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length18.862307
Min length3

Characters and Unicode

Total characters560965
Distinct characters102
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique881 ?
Unique (%)3.0%

Sample

1st rowSalomon, Bernard
2nd rowCharlet, Nicolas Toussaint
3rd rowForain, Jean Louis
4th rowPissarro, Camille
5th rowDürer, Albrecht
ValueCountFrequency (%)
anonym 2827
 
3.9%
jahrhundert 1949
 
2.7%
nicolas 1793
 
2.5%
toussaint 1438
 
2.0%
charlet 1436
 
2.0%
de 1269
 
1.8%
jacques 1165
 
1.6%
hans 1089
 
1.5%
16 1066
 
1.5%
deutsch 989
 
1.4%
Other values (2581) 57326
79.2%
2025-05-22T13:45:16.637883image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 50655
 
9.0%
42607
 
7.6%
a 40953
 
7.3%
r 37263
 
6.6%
n 35796
 
6.4%
, 29979
 
5.3%
o 29977
 
5.3%
i 29420
 
5.2%
l 26533
 
4.7%
s 24437
 
4.4%
Other values (92) 213345
38.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 560965
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 50655
 
9.0%
42607
 
7.6%
a 40953
 
7.3%
r 37263
 
6.6%
n 35796
 
6.4%
, 29979
 
5.3%
o 29977
 
5.3%
i 29420
 
5.2%
l 26533
 
4.7%
s 24437
 
4.4%
Other values (92) 213345
38.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 560965
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 50655
 
9.0%
42607
 
7.6%
a 40953
 
7.3%
r 37263
 
6.6%
n 35796
 
6.4%
, 29979
 
5.3%
o 29977
 
5.3%
i 29420
 
5.2%
l 26533
 
4.7%
s 24437
 
4.4%
Other values (92) 213345
38.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 560965
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 50655
 
9.0%
42607
 
7.6%
a 40953
 
7.3%
r 37263
 
6.6%
n 35796
 
6.4%
, 29979
 
5.3%
o 29977
 
5.3%
i 29420
 
5.2%
l 26533
 
4.7%
s 24437
 
4.4%
Other values (92) 213345
38.0%

nationality
Unsupported

Missing  Rejected  Unsupported 

Missing29740
Missing (%)100.0%
Memory size232.5 KiB

role
Categorical

High correlation 

Distinct18
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
Radierer
8394 
Lithograph
6960 
Stecher
5597 
Formschneider
5502 
Zeichner
2913 
Other values (13)
 
374

Length

Max length13
Median length12
Mean length9.2095831
Min length5

Characters and Unicode

Total characters273893
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowFormschneider
2nd rowLithograph
3rd rowLithograph
4th rowRadierer
5th rowFormschneider

Common Values

ValueCountFrequency (%)
Radierer 8394
28.2%
Lithograph 6960
23.4%
Stecher 5597
18.8%
Formschneider 5502
18.5%
Zeichner 2913
 
9.8%
Inventor 205
 
0.7%
Radiererin 50
 
0.2%
Maler 46
 
0.2%
Lithographin 31
 
0.1%
Zeichnerin 15
 
0.1%
Other values (8) 27
 
0.1%

Length

2025-05-22T13:45:16.702587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
radierer 8394
28.2%
lithograph 6960
23.4%
stecher 5597
18.8%
formschneider 5502
18.5%
zeichner 2913
 
9.8%
inventor 205
 
0.7%
radiererin 50
 
0.2%
maler 46
 
0.2%
lithographin 31
 
0.1%
zeichnerin 15
 
0.1%
Other values (8) 27
 
0.1%

Most occurring characters

ValueCountFrequency (%)
e 45241
16.5%
r 43702
16.0%
h 28022
10.2%
i 23974
8.8%
a 15488
 
5.7%
c 14038
 
5.1%
d 13946
 
5.1%
t 12813
 
4.7%
o 12703
 
4.6%
n 8945
 
3.3%
Other values (21) 55021
20.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 273893
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 45241
16.5%
r 43702
16.0%
h 28022
10.2%
i 23974
8.8%
a 15488
 
5.7%
c 14038
 
5.1%
d 13946
 
5.1%
t 12813
 
4.7%
o 12703
 
4.6%
n 8945
 
3.3%
Other values (21) 55021
20.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 273893
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 45241
16.5%
r 43702
16.0%
h 28022
10.2%
i 23974
8.8%
a 15488
 
5.7%
c 14038
 
5.1%
d 13946
 
5.1%
t 12813
 
4.7%
o 12703
 
4.6%
n 8945
 
3.3%
Other values (21) 55021
20.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 273893
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 45241
16.5%
r 43702
16.0%
h 28022
10.2%
i 23974
8.8%
a 15488
 
5.7%
c 14038
 
5.1%
d 13946
 
5.1%
t 12813
 
4.7%
o 12703
 
4.6%
n 8945
 
3.3%
Other values (21) 55021
20.1%

birth
Text

Distinct914
Distinct (%)3.1%
Missing251
Missing (%)0.8%
Memory size232.5 KiB
2025-05-22T13:45:16.805325image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length6.3230018
Min length4

Characters and Unicode

Total characters186459
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)0.7%

Sample

1st row1506
2nd row1792-12-20
3rd row1852
4th row1830-07-10
5th row1471-05-21
ValueCountFrequency (%)
1792-12-20 1436
 
4.9%
1501 1294
 
4.4%
1471-05-21 1142
 
3.9%
1592 983
 
3.3%
1500 964
 
3.3%
1495 803
 
2.7%
1828 540
 
1.8%
1808-02-26 471
 
1.6%
1810-05-28 463
 
1.6%
1480 458
 
1.6%
Other values (904) 20935
71.0%
2025-05-22T13:45:16.967804image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 46524
25.0%
0 25060
13.4%
- 22823
12.2%
2 16506
 
8.9%
8 15966
 
8.6%
5 14324
 
7.7%
7 11899
 
6.4%
6 8905
 
4.8%
4 8743
 
4.7%
9 7960
 
4.3%
Other values (4) 7749
 
4.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 186459
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 46524
25.0%
0 25060
13.4%
- 22823
12.2%
2 16506
 
8.9%
8 15966
 
8.6%
5 14324
 
7.7%
7 11899
 
6.4%
6 8905
 
4.8%
4 8743
 
4.7%
9 7960
 
4.3%
Other values (4) 7749
 
4.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 186459
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 46524
25.0%
0 25060
13.4%
- 22823
12.2%
2 16506
 
8.9%
8 15966
 
8.6%
5 14324
 
7.7%
7 11899
 
6.4%
6 8905
 
4.8%
4 8743
 
4.7%
9 7960
 
4.3%
Other values (4) 7749
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 186459
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 46524
25.0%
0 25060
13.4%
- 22823
12.2%
2 16506
 
8.9%
8 15966
 
8.6%
5 14324
 
7.7%
7 11899
 
6.4%
6 8905
 
4.8%
4 8743
 
4.7%
9 7960
 
4.3%
Other values (4) 7749
 
4.2%

death
Text

Distinct995
Distinct (%)3.4%
Missing243
Missing (%)0.8%
Memory size232.5 KiB
2025-05-22T13:45:17.075866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length6.7742482
Min length4

Characters and Unicode

Total characters199820
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)0.7%

Sample

1st row1561
2nd row1845-12-30
3rd row1931
4th row1903-11-13
5th row1528-04-06
ValueCountFrequency (%)
1845-12-30 1436
 
4.9%
1600 1337
 
4.5%
1528-04-06 1114
 
3.8%
1635-03-24 980
 
3.3%
1550 665
 
2.3%
1536 485
 
1.6%
1883 480
 
1.6%
1879-02-10 471
 
1.6%
1864-03-17 463
 
1.6%
1540 425
 
1.4%
Other values (985) 21641
73.4%
2025-05-22T13:45:17.236143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 44971
22.5%
0 27301
13.7%
- 27271
13.6%
8 19406
9.7%
5 14907
 
7.5%
6 14597
 
7.3%
3 11972
 
6.0%
2 11626
 
5.8%
9 9528
 
4.8%
4 9171
 
4.6%
Other values (7) 9070
 
4.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 199820
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 44971
22.5%
0 27301
13.7%
- 27271
13.6%
8 19406
9.7%
5 14907
 
7.5%
6 14597
 
7.3%
3 11972
 
6.0%
2 11626
 
5.8%
9 9528
 
4.8%
4 9171
 
4.6%
Other values (7) 9070
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 199820
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 44971
22.5%
0 27301
13.7%
- 27271
13.6%
8 19406
9.7%
5 14907
 
7.5%
6 14597
 
7.3%
3 11972
 
6.0%
2 11626
 
5.8%
9 9528
 
4.8%
4 9171
 
4.6%
Other values (7) 9070
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 199820
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 44971
22.5%
0 27301
13.7%
- 27271
13.6%
8 19406
9.7%
5 14907
 
7.5%
6 14597
 
7.3%
3 11972
 
6.0%
2 11626
 
5.8%
9 9528
 
4.8%
4 9171
 
4.6%
Other values (7) 9070
 
4.5%

location
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
Bremen
29740 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters178440
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowBremen
2nd rowBremen
3rd rowBremen
4th rowBremen
5th rowBremen

Common Values

ValueCountFrequency (%)
Bremen 29740
100.0%

Length

2025-05-22T13:45:17.296094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-22T13:45:17.337264image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
bremen 29740
100.0%

Most occurring characters

ValueCountFrequency (%)
e 59480
33.3%
B 29740
16.7%
r 29740
16.7%
m 29740
16.7%
n 29740
16.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 178440
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 59480
33.3%
B 29740
16.7%
r 29740
16.7%
m 29740
16.7%
n 29740
16.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 178440
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 59480
33.3%
B 29740
16.7%
r 29740
16.7%
m 29740
16.7%
n 29740
16.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 178440
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 59480
33.3%
B 29740
16.7%
r 29740
16.7%
m 29740
16.7%
n 29740
16.7%

title
Text

Distinct25908
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
2025-05-22T13:45:17.491537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length568
Median length311
Mean length69.975925
Min length3

Characters and Unicode

Total characters2081084
Distinct characters171
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23521 ?
Unique (%)79.1%

Sample

1st rowNoahs Trunkenheit, aus: Claude Paradin, "Quadrins historiques de la Bible", Lyon 1558
2nd rowAlmosen, Blatt 4 der Folge "Leben des Valentin"
3rd rowBildnisse Aubroise Vollard
4th rowMistfahrende Bäuerin
5th rowBabylonisches Weib, Blatt 13 aus: Albrecht Dürer, Die heimlich offenbarung iohannis, Nürnberg 1498
ValueCountFrequency (%)
der 13746
 
4.6%
blatt 8671
 
2.9%
folge 8270
 
2.7%
aus 6958
 
2.3%
de 6248
 
2.1%
und 6182
 
2.1%
des 3969
 
1.3%
mit 3880
 
1.3%
von 3630
 
1.2%
in 3314
 
1.1%
Other values (29197) 236587
78.5%
2025-05-22T13:45:17.678266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
271715
 
13.1%
e 224442
 
10.8%
i 128929
 
6.2%
n 126591
 
6.1%
r 116914
 
5.6%
a 112465
 
5.4%
s 104319
 
5.0%
t 100870
 
4.8%
l 80017
 
3.8%
u 72286
 
3.5%
Other values (161) 742536
35.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2081084
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
271715
 
13.1%
e 224442
 
10.8%
i 128929
 
6.2%
n 126591
 
6.1%
r 116914
 
5.6%
a 112465
 
5.4%
s 104319
 
5.0%
t 100870
 
4.8%
l 80017
 
3.8%
u 72286
 
3.5%
Other values (161) 742536
35.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2081084
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
271715
 
13.1%
e 224442
 
10.8%
i 128929
 
6.2%
n 126591
 
6.1%
r 116914
 
5.6%
a 112465
 
5.4%
s 104319
 
5.0%
t 100870
 
4.8%
l 80017
 
3.8%
u 72286
 
3.5%
Other values (161) 742536
35.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2081084
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
271715
 
13.1%
e 224442
 
10.8%
i 128929
 
6.2%
n 126591
 
6.1%
r 116914
 
5.6%
a 112465
 
5.4%
s 104319
 
5.0%
t 100870
 
4.8%
l 80017
 
3.8%
u 72286
 
3.5%
Other values (161) 742536
35.7%

classification
Categorical

High correlation  Imbalance 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
Druckgraphik; Druckgraphik
26753 
Zeichnung; Zeichnung
2941 
Plakat
 
18
Mappenwerk; Mappenwerk
 
17
Illustriertes Buch
 
8
Other values (3)
 
3

Length

Max length26
Median length26
Mean length25.388837
Min length5

Characters and Unicode

Total characters755064
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowDruckgraphik; Druckgraphik
2nd rowDruckgraphik; Druckgraphik
3rd rowDruckgraphik; Druckgraphik
4th rowDruckgraphik; Druckgraphik
5th rowDruckgraphik; Druckgraphik

Common Values

ValueCountFrequency (%)
Druckgraphik; Druckgraphik 26753
90.0%
Zeichnung; Zeichnung 2941
 
9.9%
Plakat 18
 
0.1%
Mappenwerk; Mappenwerk 17
 
0.1%
Illustriertes Buch 8
 
< 0.1%
Brief 1
 
< 0.1%
Skizzenbuch; Skizzenbuch 1
 
< 0.1%
Druckplatte 1
 
< 0.1%

Length

2025-05-22T13:45:17.737226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-22T13:45:17.780591image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
druckgraphik 53506
90.0%
zeichnung 5882
 
9.9%
mappenwerk 34
 
0.1%
plakat 18
 
< 0.1%
illustriertes 8
 
< 0.1%
buch 8
 
< 0.1%
skizzenbuch 2
 
< 0.1%
brief 1
 
< 0.1%
druckplatte 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
k 107067
14.2%
r 107064
14.2%
u 59407
7.9%
c 59399
7.9%
i 59399
7.9%
h 59398
7.9%
g 59388
7.9%
a 53577
7.1%
p 53575
7.1%
D 53507
7.1%
Other values (17) 83283
11.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 755064
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
k 107067
14.2%
r 107064
14.2%
u 59407
7.9%
c 59399
7.9%
i 59399
7.9%
h 59398
7.9%
g 59388
7.9%
a 53577
7.1%
p 53575
7.1%
D 53507
7.1%
Other values (17) 83283
11.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 755064
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
k 107067
14.2%
r 107064
14.2%
u 59407
7.9%
c 59399
7.9%
i 59399
7.9%
h 59398
7.9%
g 59388
7.9%
a 53577
7.1%
p 53575
7.1%
D 53507
7.1%
Other values (17) 83283
11.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 755064
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
k 107067
14.2%
r 107064
14.2%
u 59407
7.9%
c 59399
7.9%
i 59399
7.9%
h 59398
7.9%
g 59388
7.9%
a 53577
7.1%
p 53575
7.1%
D 53507
7.1%
Other values (17) 83283
11.0%

rightsStatement
Categorical

Imbalance  Missing 

Distinct2
Distinct (%)< 0.1%
Missing1601
Missing (%)5.4%
Memory size232.5 KiB
http://creativecommons.org/publicdomain/mark/1.0/
28136 
http://creativecommons.org/publicdomain/mark/1.0/; http://creativecommons.org/publicdomain/mark/1.0/
 
3

Length

Max length100
Median length49
Mean length49.005437
Min length49

Characters and Unicode

Total characters1378964
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttp://creativecommons.org/publicdomain/mark/1.0/
2nd rowhttp://creativecommons.org/publicdomain/mark/1.0/
3rd rowhttp://creativecommons.org/publicdomain/mark/1.0/
4th rowhttp://creativecommons.org/publicdomain/mark/1.0/
5th rowhttp://creativecommons.org/publicdomain/mark/1.0/

Common Values

ValueCountFrequency (%)
http://creativecommons.org/publicdomain/mark/1.0/ 28136
94.6%
http://creativecommons.org/publicdomain/mark/1.0/; http://creativecommons.org/publicdomain/mark/1.0/ 3
 
< 0.1%
(Missing) 1601
 
5.4%

Length

2025-05-22T13:45:17.835967image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-22T13:45:17.873307image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
http://creativecommons.org/publicdomain/mark/1.0 28142
100.0%

Most occurring characters

ValueCountFrequency (%)
/ 168852
 
12.2%
o 112568
 
8.2%
m 112568
 
8.2%
i 84426
 
6.1%
t 84426
 
6.1%
c 84426
 
6.1%
r 84426
 
6.1%
a 84426
 
6.1%
. 56284
 
4.1%
n 56284
 
4.1%
Other values (16) 450278
32.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1378964
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
/ 168852
 
12.2%
o 112568
 
8.2%
m 112568
 
8.2%
i 84426
 
6.1%
t 84426
 
6.1%
c 84426
 
6.1%
r 84426
 
6.1%
a 84426
 
6.1%
. 56284
 
4.1%
n 56284
 
4.1%
Other values (16) 450278
32.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1378964
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
/ 168852
 
12.2%
o 112568
 
8.2%
m 112568
 
8.2%
i 84426
 
6.1%
t 84426
 
6.1%
c 84426
 
6.1%
r 84426
 
6.1%
a 84426
 
6.1%
. 56284
 
4.1%
n 56284
 
4.1%
Other values (16) 450278
32.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1378964
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
/ 168852
 
12.2%
o 112568
 
8.2%
m 112568
 
8.2%
i 84426
 
6.1%
t 84426
 
6.1%
c 84426
 
6.1%
r 84426
 
6.1%
a 84426
 
6.1%
. 56284
 
4.1%
n 56284
 
4.1%
Other values (16) 450278
32.7%

workID
Text

Missing 

Distinct28158
Distinct (%)> 99.9%
Missing1581
Missing (%)5.3%
Memory size232.5 KiB
2025-05-22T13:45:17.983836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length32
Median length31
Mean length7.7581945
Min length1

Characters and Unicode

Total characters218463
Distinct characters48
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28157 ?
Unique (%)> 99.9%

Sample

1st row25567
2nd row1911/1179
3rd row1962/189
4th row1909/908
5th row1906/318
ValueCountFrequency (%)
z 820
 
2.6%
recto 446
 
1.4%
verso 410
 
1.3%
a 334
 
1.1%
b 216
 
0.7%
c 185
 
0.6%
d 181
 
0.6%
leyden 156
 
0.5%
1851/2802 136
 
0.4%
29122 58
 
0.2%
Other values (26552) 28577
90.7%
2025-05-22T13:45:18.158711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 35876
16.4%
2 35161
16.1%
9 20845
9.5%
/ 20529
9.4%
0 20434
9.4%
3 15749
7.2%
5 14650
6.7%
8 11989
 
5.5%
4 11425
 
5.2%
6 10636
 
4.9%
Other values (38) 21169
9.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 218463
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 35876
16.4%
2 35161
16.1%
9 20845
9.5%
/ 20529
9.4%
0 20434
9.4%
3 15749
7.2%
5 14650
6.7%
8 11989
 
5.5%
4 11425
 
5.2%
6 10636
 
4.9%
Other values (38) 21169
9.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 218463
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 35876
16.4%
2 35161
16.1%
9 20845
9.5%
/ 20529
9.4%
0 20434
9.4%
3 15749
7.2%
5 14650
6.7%
8 11989
 
5.5%
4 11425
 
5.2%
6 10636
 
4.9%
Other values (38) 21169
9.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 218463
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 35876
16.4%
2 35161
16.1%
9 20845
9.5%
/ 20529
9.4%
0 20434
9.4%
3 15749
7.2%
5 14650
6.7%
8 11989
 
5.5%
4 11425
 
5.2%
6 10636
 
4.9%
Other values (38) 21169
9.7%

repositoryName
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']
29740 

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters2736080
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']
2nd row['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']
3rd row['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']
4th row['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']
5th row['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']

Common Values

ValueCountFrequency (%)
['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen'] 29740
100.0%

Length

2025-05-22T13:45:18.216638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-22T13:45:18.252363image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
bremen 148700
55.6%
kunsthalle 118960
44.4%

Most occurring characters

ValueCountFrequency (%)
e 416360
15.2%
n 267660
9.8%
' 237920
 
8.7%
l 237920
 
8.7%
237920
 
8.7%
B 148700
 
5.4%
r 148700
 
5.4%
m 148700
 
5.4%
a 118960
 
4.3%
, 118960
 
4.3%
Other values (7) 654280
23.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2736080
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 416360
15.2%
n 267660
9.8%
' 237920
 
8.7%
l 237920
 
8.7%
237920
 
8.7%
B 148700
 
5.4%
r 148700
 
5.4%
m 148700
 
5.4%
a 118960
 
4.3%
, 118960
 
4.3%
Other values (7) 654280
23.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2736080
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 416360
15.2%
n 267660
9.8%
' 237920
 
8.7%
l 237920
 
8.7%
237920
 
8.7%
B 148700
 
5.4%
r 148700
 
5.4%
m 148700
 
5.4%
a 118960
 
4.3%
, 118960
 
4.3%
Other values (7) 654280
23.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2736080
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 416360
15.2%
n 267660
9.8%
' 237920
 
8.7%
l 237920
 
8.7%
237920
 
8.7%
B 148700
 
5.4%
r 148700
 
5.4%
m 148700
 
5.4%
a 118960
 
4.3%
, 118960
 
4.3%
Other values (7) 654280
23.9%

recordID
Real number (ℝ)

Unique 

Distinct29740
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61871.368
Minimum47
Maximum139093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size232.5 KiB
2025-05-22T13:45:18.294804image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile8271.95
Q132607.25
median59584.5
Q393070.25
95-th percentile112533.05
Maximum139093
Range139046
Interquartile range (IQR)60463

Descriptive statistics

Standard deviation33104.001
Coefficient of variation (CV)0.53504556
Kurtosis-1.2491936
Mean61871.368
Median Absolute Deviation (MAD)31721
Skewness-0.065796978
Sum1.8400545 × 109
Variance1.0958749 × 109
MonotonicityNot monotonic
2025-05-22T13:45:18.348610image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94265 1
 
< 0.1%
115151 1
 
< 0.1%
65247 1
 
< 0.1%
23077 1
 
< 0.1%
95191 1
 
< 0.1%
27901 1
 
< 0.1%
65434 1
 
< 0.1%
82317 1
 
< 0.1%
42297 1
 
< 0.1%
82316 1
 
< 0.1%
Other values (29730) 29730
> 99.9%
ValueCountFrequency (%)
47 1
< 0.1%
106 1
< 0.1%
138 1
< 0.1%
154 1
< 0.1%
290 1
< 0.1%
335 1
< 0.1%
762 1
< 0.1%
963 1
< 0.1%
965 1
< 0.1%
1227 1
< 0.1%
ValueCountFrequency (%)
139093 1
< 0.1%
135306 1
< 0.1%
135300 1
< 0.1%
135299 1
< 0.1%
135298 1
< 0.1%
134522 1
< 0.1%
133287 1
< 0.1%
132355 1
< 0.1%
132309 1
< 0.1%
132308 1
< 0.1%

recordLinks
Text

Unique 

Distinct29740
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
2025-05-22T13:45:18.439926image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length74
Median length73
Mean length73.050034
Min length70

Characters and Unicode

Total characters2172508
Distinct characters41
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29740 ?
Unique (%)100.0%

Sample

1st row['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/94265']
2nd row['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/84536']
3rd row['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/84537']
4th row['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/13286']
5th row['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/54019']
ValueCountFrequency (%)
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/94265 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/112310 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/54019 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/94199 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/54018 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/94198 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/58959 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/58958 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/82551 1
 
< 0.1%
https://onlinekatalog.kunsthalle-bremen.de/de-mus-027614/object/82550 1
 
< 0.1%
Other values (29730) 29730
> 99.9%
2025-05-22T13:45:18.589575image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 178440
 
8.2%
t 148700
 
6.8%
/ 148700
 
6.8%
l 118960
 
5.5%
n 118960
 
5.5%
- 89220
 
4.1%
a 89220
 
4.1%
o 89220
 
4.1%
' 59480
 
2.7%
. 59480
 
2.7%
Other values (31) 1072128
49.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2172508
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 178440
 
8.2%
t 148700
 
6.8%
/ 148700
 
6.8%
l 118960
 
5.5%
n 118960
 
5.5%
- 89220
 
4.1%
a 89220
 
4.1%
o 89220
 
4.1%
' 59480
 
2.7%
. 59480
 
2.7%
Other values (31) 1072128
49.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2172508
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 178440
 
8.2%
t 148700
 
6.8%
/ 148700
 
6.8%
l 118960
 
5.5%
n 118960
 
5.5%
- 89220
 
4.1%
a 89220
 
4.1%
o 89220
 
4.1%
' 59480
 
2.7%
. 59480
 
2.7%
Other values (31) 1072128
49.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2172508
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 178440
 
8.2%
t 148700
 
6.8%
/ 148700
 
6.8%
l 118960
 
5.5%
n 118960
 
5.5%
- 89220
 
4.1%
a 89220
 
4.1%
o 89220
 
4.1%
' 59480
 
2.7%
. 59480
 
2.7%
Other values (31) 1072128
49.3%

eventType
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
Herstellung
29740 

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters327140
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowHerstellung
2nd rowHerstellung
3rd rowHerstellung
4th rowHerstellung
5th rowHerstellung

Common Values

ValueCountFrequency (%)
Herstellung 29740
100.0%

Length

2025-05-22T13:45:18.646584image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-05-22T13:45:18.682336image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
herstellung 29740
100.0%

Most occurring characters

ValueCountFrequency (%)
e 59480
18.2%
l 59480
18.2%
H 29740
9.1%
r 29740
9.1%
s 29740
9.1%
t 29740
9.1%
u 29740
9.1%
n 29740
9.1%
g 29740
9.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 327140
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 59480
18.2%
l 59480
18.2%
H 29740
9.1%
r 29740
9.1%
s 29740
9.1%
t 29740
9.1%
u 29740
9.1%
n 29740
9.1%
g 29740
9.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 327140
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 59480
18.2%
l 59480
18.2%
H 29740
9.1%
r 29740
9.1%
s 29740
9.1%
t 29740
9.1%
u 29740
9.1%
n 29740
9.1%
g 29740
9.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 327140
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 59480
18.2%
l 59480
18.2%
H 29740
9.1%
r 29740
9.1%
s 29740
9.1%
t 29740
9.1%
u 29740
9.1%
n 29740
9.1%
g 29740
9.1%
Distinct2480
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
2025-05-22T13:45:18.750828image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length284
Median length264
Mean length23.015165
Min length2

Characters and Unicode

Total characters684471
Distinct characters97
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1990 ?
Unique (%)6.7%

Sample

1st row['Holzschnitt']
2nd row['Lithographie, Chine collé']
3rd row['Lithographie']
4th row['Radierung und wenig Kaltnadel']
5th row['Holzschnitt']
ValueCountFrequency (%)
radierung 8422
 
13.1%
lithographie 6399
 
10.0%
kupferstich 5854
 
9.1%
holzschnitt 5387
 
8.4%
in 2970
 
4.6%
und 2637
 
4.1%
collé 2143
 
3.3%
chine 2142
 
3.3%
mit 1559
 
2.4%
braun 1382
 
2.2%
Other values (1453) 25380
39.5%
2025-05-22T13:45:18.961275image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 62074
 
9.1%
i 57230
 
8.4%
e 50099
 
7.3%
r 40023
 
5.8%
t 34915
 
5.1%
n 34865
 
5.1%
h 34772
 
5.1%
34535
 
5.0%
a 30954
 
4.5%
] 29881
 
4.4%
Other values (87) 275123
40.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 684471
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 62074
 
9.1%
i 57230
 
8.4%
e 50099
 
7.3%
r 40023
 
5.8%
t 34915
 
5.1%
n 34865
 
5.1%
h 34772
 
5.1%
34535
 
5.0%
a 30954
 
4.5%
] 29881
 
4.4%
Other values (87) 275123
40.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 684471
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 62074
 
9.1%
i 57230
 
8.4%
e 50099
 
7.3%
r 40023
 
5.8%
t 34915
 
5.1%
n 34865
 
5.1%
h 34772
 
5.1%
34535
 
5.0%
a 30954
 
4.5%
] 29881
 
4.4%
Other values (87) 275123
40.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 684471
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 62074
 
9.1%
i 57230
 
8.4%
e 50099
 
7.3%
r 40023
 
5.8%
t 34915
 
5.1%
n 34865
 
5.1%
h 34772
 
5.1%
34535
 
5.0%
a 30954
 
4.5%
] 29881
 
4.4%
Other values (87) 275123
40.2%
Distinct16883
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
2025-05-22T13:45:19.048080image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length2684
Median length679
Mean length169.85565
Min length2

Characters and Unicode

Total characters5051507
Distinct characters108
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14802 ?
Unique (%)49.8%

Sample

1st row['oben außerhalb der Darstellung bezeichnet', 'unten außerhalb der Darstellung bezeichnet']
2nd row['rechts oberhalb der Darstellung nummeriert', 'links unterhalb der Darstellung bezeichnet', 'rechts unterhalb der Darstellung bezeichnet', 'unten Mitte unterhalb der Darstellung bezeichnet', 'unten rechts innerhalb der Darstellung signiert']
3rd row['unten links außerhalb der Darstellung: Prägestempel Kunsthalle Bremen', 'unten Mitte innerhalb der Darstellung monogrammiert', 'unten Mitte außerhalb der Darstellung am Blattrand von fremder Hand mit Bleistift nummeriert']
4th row['verso: Kunsthalle Bremen; Lugt 292', 'unten rechts unterhalb der Darstellung mit Bleistift signiert']
5th row['verso: Kunsthalle Bremen; Lugt 292', 'unten Mitte monogrammiert']
ValueCountFrequency (%)
der 60546
 
9.6%
unten 58151
 
9.3%
darstellung 56943
 
9.1%
bezeichnet 46568
 
7.4%
rechts 35175
 
5.6%
unterhalb 34385
 
5.5%
links 31091
 
5.0%
mitte 26208
 
4.2%
mit 19516
 
3.1%
innerhalb 15691
 
2.5%
Other values (2997) 243315
38.8%
2025-05-22T13:45:19.196116image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 644614
12.8%
597849
11.8%
n 451606
 
8.9%
t 450671
 
8.9%
r 336806
 
6.7%
l 258765
 
5.1%
i 251572
 
5.0%
' 198758
 
3.9%
u 198614
 
3.9%
a 189891
 
3.8%
Other values (98) 1472361
29.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5051507
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 644614
12.8%
597849
11.8%
n 451606
 
8.9%
t 450671
 
8.9%
r 336806
 
6.7%
l 258765
 
5.1%
i 251572
 
5.0%
' 198758
 
3.9%
u 198614
 
3.9%
a 189891
 
3.8%
Other values (98) 1472361
29.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5051507
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 644614
12.8%
597849
11.8%
n 451606
 
8.9%
t 450671
 
8.9%
r 336806
 
6.7%
l 258765
 
5.1%
i 251572
 
5.0%
' 198758
 
3.9%
u 198614
 
3.9%
a 189891
 
3.8%
Other values (98) 1472361
29.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5051507
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 644614
12.8%
597849
11.8%
n 451606
 
8.9%
t 450671
 
8.9%
r 336806
 
6.7%
l 258765
 
5.1%
i 251572
 
5.0%
' 198758
 
3.9%
u 198614
 
3.9%
a 189891
 
3.8%
Other values (98) 1472361
29.1%
Distinct215
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size232.5 KiB
2025-05-22T13:45:19.295523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length706
Median length2
Mean length3.0092132
Min length2

Characters and Unicode

Total characters89494
Distinct characters110
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique181 ?
Unique (%)0.6%

Sample

1st row[]
2nd row[]
3rd row[]
4th row[]
5th row[]
ValueCountFrequency (%)
29523
87.3%
auf 146
 
0.4%
leinwand 96
 
0.3%
öl 94
 
0.3%
inv 70
 
0.2%
von 70
 
0.2%
de 68
 
0.2%
der 66
 
0.2%
nr 61
 
0.2%
des 57
 
0.2%
Other values (1571) 3562
 
10.5%
2025-05-22T13:45:19.464852image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
[ 29743
33.2%
] 29743
33.2%
4073
 
4.6%
e 2771
 
3.1%
n 1708
 
1.9%
a 1627
 
1.8%
r 1586
 
1.8%
i 1518
 
1.7%
u 1032
 
1.2%
t 1027
 
1.1%
Other values (100) 14666
16.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 89494
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
[ 29743
33.2%
] 29743
33.2%
4073
 
4.6%
e 2771
 
3.1%
n 1708
 
1.9%
a 1627
 
1.8%
r 1586
 
1.8%
i 1518
 
1.7%
u 1032
 
1.2%
t 1027
 
1.1%
Other values (100) 14666
16.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 89494
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
[ 29743
33.2%
] 29743
33.2%
4073
 
4.6%
e 2771
 
3.1%
n 1708
 
1.9%
a 1627
 
1.8%
r 1586
 
1.8%
i 1518
 
1.7%
u 1032
 
1.2%
t 1027
 
1.1%
Other values (100) 14666
16.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 89494
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
[ 29743
33.2%
] 29743
33.2%
4073
 
4.6%
e 2771
 
3.1%
n 1708
 
1.9%
a 1627
 
1.8%
r 1586
 
1.8%
i 1518
 
1.7%
u 1032
 
1.2%
t 1027
 
1.1%
Other values (100) 14666
16.4%

Interactions

2025-05-22T13:45:14.137052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-05-22T13:45:13.857638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-05-22T13:45:14.004469image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-05-22T13:45:14.182205image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-05-22T13:45:13.915761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-05-22T13:45:14.049395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-05-22T13:45:14.226780image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-05-22T13:45:13.960371image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-05-22T13:45:14.093033image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2025-05-22T13:45:19.509965image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
classificationearliestDatelatestDaterecordIDrightsStatementroletype
classification1.0000.0870.0910.2580.0160.5330.990
earliestDate0.0871.0000.9440.3680.0000.4630.347
latestDate0.0910.9441.0000.3520.0000.6220.512
recordID0.2580.3680.3521.0000.0140.3290.235
rightsStatement0.0160.0000.0000.0141.0000.0000.027
role0.5330.4630.6220.3290.0001.0000.418
type0.9900.3470.5120.2350.0270.4181.000

Missing values

2025-05-22T13:45:14.310283image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-22T13:45:14.476452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-22T13:45:14.786130image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

lidoRecordIdimageUrltypematerialdisplayDateearliestDatelatestDatesubjectartistNamenationalityrolebirthdeathlocationtitleclassificationrightsStatementworkIDrepositoryNamerecordIDrecordLinkseventTypedisplayMaterialsTechinscriptionsrelatedWorkNotes
0DE-MUS-027614/lido/94265https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/94265/136370Druckgraphik; DruckgraphikHolzschnitt; Holzschnitt (Druckverfahren)um 1550-15551550.01555.0Noahs Trunkenheit; TrunkenheitSalomon, BernardNaNFormschneider15061561BremenNoahs Trunkenheit, aus: Claude Paradin, "Quadrins historiques de la Bible", Lyon 1558Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/25567['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']94265['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/94265']Herstellung['Holzschnitt']['oben außerhalb der Darstellung bezeichnet', 'unten außerhalb der Darstellung bezeichnet'][]
1DE-MUS-027614/lido/84536https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/84536/125621Druckgraphik; DruckgraphikNaN1807-18451807.01845.0Jugendlicher, Heranwachsender; Jugendlicher; Vieh hüten; Hirt, Hirtin, Schafhirt, Schafhirtin, Kuhhirt etc.; Hirte; Hirte; Almosen geben; andere Formen der Barmherzigkeit, z.B.: Lebensmittel ausgeben; Nächstenliebe; Barmherzigkeit; Almosen; Speise; gebenCharlet, Nicolas ToussaintNaNLithograph1792-12-201845-12-30BremenAlmosen, Blatt 4 der Folge "Leben des Valentin"Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1911/1179['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']84536['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/84536']Herstellung['Lithographie, Chine collé']['rechts oberhalb der Darstellung nummeriert', 'links unterhalb der Darstellung bezeichnet', 'rechts unterhalb der Darstellung bezeichnet', 'unten Mitte unterhalb der Darstellung bezeichnet', 'unten rechts innerhalb der Darstellung signiert'][]
2DE-MUS-027614/lido/84537https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/84537/127749Druckgraphik; DruckgraphikLithographie; Lithographie (Druckverfahren)um 19101900.01920.0Kunsthändler; Kopf (als Teil des menschlichen Körpers); Kopf; erwachsener Mann; Erwachsenenalter; historische Person (VOLLARD, Ambroise) - Porträt einer historischen Person (VOLLARD, Ambroise) (VOLLARD, Ambroise) (+ verschiedene Ansichten einer Person in einer Darstellung); Name; historische Person; Porträt; Mensch; Mann; Knabe; Junge; IdentitätForain, Jean LouisNaNLithograph18521931BremenBildnisse Aubroise VollardDruckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1962/189['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']84537['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/84537']Herstellung['Lithographie']['unten links außerhalb der Darstellung: Prägestempel Kunsthalle Bremen', 'unten Mitte innerhalb der Darstellung monogrammiert', 'unten Mitte außerhalb der Darstellung am Blattrand von fremder Hand mit Bleistift nummeriert'][]
3DE-MUS-027614/lido/13286https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/13286/127920Druckgraphik; DruckgraphikRadierung; Radierung (Druckverfahren)1878-18801878.01880.0den Boden fruchtbar machen, düngen; Fruchtbarkeit; düngen; Bauern - AA - Bäuerin, Bauersfrau; Ehefrau; Gattin; Bauersfrau; BauernhofPissarro, CamilleNaNRadierer1830-07-101903-11-13BremenMistfahrende BäuerinDruckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1909/908['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']13286['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/13286']Herstellung['Radierung und wenig Kaltnadel']['verso: Kunsthalle Bremen; Lugt 292', 'unten rechts unterhalb der Darstellung mit Bleistift signiert'][]
4DE-MUS-027614/lido/54019https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/54019/110938Druckgraphik; DruckgraphikHolzschnitt; Holzschnitt (Druckverfahren)um 1496/71496.01498.0NaNDürer, AlbrechtNaNFormschneider1471-05-211528-04-06BremenBabylonisches Weib, Blatt 13 aus: Albrecht Dürer, Die heimlich offenbarung iohannis, Nürnberg 1498Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1906/318['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']54019['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/54019']Herstellung['Holzschnitt']['verso: Kunsthalle Bremen; Lugt 292', 'unten Mitte monogrammiert'][]
5DE-MUS-027614/lido/94199https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/94199/153897Druckgraphik; DruckgraphikLithographie; Lithographie (Druckverfahren)Juni 18201820.01820.0in eine Stadt oder Festung eindringen (bei einer Belagerung); Festung; Stadtmauer; Verteidigung einer Festung oder Stadt; Fortifikation; Befestigung; StadtAubry, CharlesNaNLithograph18111877BremenPrise d’un Redoute par des Grenadiers Français; Eroberung einer Festung durch französische GrenadiereDruckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/2022/3009['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']94199['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/94199']Herstellung['Lithographie']['links unterhalb der Darstellung mit "Copie" mit Bleistift bezeichnet', 'unten Mitte unterhalb der Darstellung betitelt', 'unten links unterhalb der Darstellung von fremder Hand mit Bleistift bezeichnet', 'rechts unterhalb der Darstellung bezeichnet'][]
6DE-MUS-027614/lido/54018https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/54018/110940Druckgraphik; DruckgraphikHolzschnitt; Holzschnitt (Druckverfahren)um 14981497.01498.0NaNDürer, AlbrechtNaNFormschneider1471-05-211528-04-06BremenMichaels Kampf mit dem Drachen, Blatt 10 aus: Albrecht Dürer, "Apocalipsis cum figuris", Nürnberg 1511Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1906/317['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']54018['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/54018']Herstellung['Holzschnitt', 'Meder 259']['unten Mitte monogrammiert'][]
7DE-MUS-027614/lido/94198https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/94198/153823Druckgraphik; DruckgraphikLithographie; Lithographie (Druckverfahren)1804-18441804.01844.0Porträt einer anonymen historischen Person (allein) (+ Brustbild, Dreiviertelprofil (Porträt)); Porträt; historische Person (anonym); männlich; historische Person; Oberbefehlshaber, General, Marschall; Oberbefehlshaber; General; erwachsener Mann (+ Dreiviertelprofil); ErwachsenenalterMauzaisse, Jean BaptisteNaNLithograph1784-11-011844-11-15BremenBildnis General FayDruckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/2022/3008['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']94198['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/94198']Herstellung['Lithographie']['Mitte unterhalb der Darstellung von fremder Hand mit Bleistift bezeichnet', 'verso bezeichnet', 'unten links unterhalb der Darstellung von fremder Hand mit Bleistift bezeichnet'][]
8DE-MUS-027614/lido/58959https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/58959/108338Druckgraphik; DruckgraphikKupferstich; Kupferstich (Druckverfahren); Kupferstich (Druckverfahren)nach 15121512.01750.0NaNAnonymNaNStecher1471-05-211528-04-06BremenChristus in der Vorhölle, aus: "Passion"; Die Höllenfahrt [Klugkist-Verzeichnis II]Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1851/485['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']58959['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/58959']Herstellung['Kupferstich']['oben Mitte innerhalb der Bogenöffnung bezeichnet', 'unten rechts auf dem Stein bezeichnet'][]
9DE-MUS-027614/lido/58958https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/58958/108424Druckgraphik; DruckgraphikKupferstich; Kupferstich (Druckverfahren); Kupferstich (Druckverfahren)nach 15121512.01750.0NaNAnonymNaNStecher1471-05-211528-04-06BremenGrablegung, aus: "Passion"; Die Grablegung [Klugkist-Verzeichnis II]Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1851/486['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']58958['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/58958']Herstellung['Kupferstich']['unten rechts auf dem Sarkophag bezeichnet'][]
lidoRecordIdimageUrltypematerialdisplayDateearliestDatelatestDatesubjectartistNamenationalityrolebirthdeathlocationtitleclassificationrightsStatementworkIDrepositoryNamerecordIDrecordLinkseventTypedisplayMaterialsTechinscriptionsrelatedWorkNotes
29730DE-MUS-027614/lido/12536https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/12536/127929Druckgraphik; DruckgraphikLithographie; Lithographie (Druckverfahren)18971897.01897.0lesen; Jacke, Mantel, Umhang, Cape; Mantel; erwachsener Mann; ErwachsenenalterToulouse-Lautrec, Henri deNaNLithograph1864-11-241901-09-09BremenProgramm für "Bénéfice Gémier"Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1963/139['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']12536['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/12536']Herstellung['Lithographie']['unten links: Kunsthalle Bremen; Lugt 292', 'unten links im Stein mit Lithographie monogrammiert', 'unten rechts in der Ecke mit Bleistift nummeriert', 'unten rechts am Blattrand bezeichnet'][]
29731DE-MUS-027614/lido/98464https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/98464/130437Druckgraphik; DruckgraphikRadierung; Radierung (Druckverfahren)18311831.01831.0Verhältnis zwischen Herr und Knecht, Arbeitgeber und Untergebenen - AA - schlechtes Verhältnis; Herr; Knecht; schlechtes Verhältnis; Bilderrahmen etc.; Rahmen; Holzbein; Holz; hölzern; Glied (Körper); Gliedmaßen (künstliche); Bein; Tabakpfeife; PfeifeVillot, FrédéricNaNRadierer1809-10-311875-05-27BremenBildnis eines Mannes, gehalten von vier Figuren, aus: "Versuche und Studien in Radierung von Frédéric Villot"Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1964/841['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']98464['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/98464']Herstellung['Radierung']['verso: Kunsthalle Bremen; Lugt 292', 'verso bezeichnet'][]
29732DE-MUS-027614/lido/65357https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/65357/141769Druckgraphik; DruckgraphikLithographie; Lithographie (Druckverfahren)1816-18171816.01817.0NaNAnonym, englisch, 19. JahrhundertNaNLithograph18011900BremenLandsknecht und Tod, Blatt 7 in: "Albert Durers Designs of the Prayer Book", London 1817; Ein Ritter der gegen den Tod das Schwert zieht [Klugkist-Verzeichnis XI]Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1851/2515 d['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']65357['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/65357']Herstellung['Lithographie']['oben rechts außerhalb des Einfassungsrahmens nummeriert', 'Mitte rechts unterhalb des Todes datiert und monogrammiert'][]
29733DE-MUS-027614/lido/98465NaNZeichnung; ZeichnungAquarell; Aquarell (Farbe)1818-18691818.01869.0NaNHuet, PaulNaNMaler1803-10-031869-01-09BremenFarbproben und ein HäuschenZeichnung; ZeichnungNaN1970/207 verso['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']98465['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/98465']Herstellung['Aquarell']['recto unten rechts: Paul Huet; Lugt 1268', 'unbezeichnet'][]
29734DE-MUS-027614/lido/65356https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/65356/115272Druckgraphik; DruckgraphikKupferstich; Kupferstich (Druckverfahren); Kupferstich (Druckverfahren)15651565.01565.0NaNGalle, TheodoorNaNStecher15711633BremenHabakuk versorgt Daniel in der Löwengrube, Blatt 8 der Folge "Geschichte von Daniel, Bel und dem Drachen"Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/2019/254['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']65356['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/65356']Herstellung['Kupferstich']['Mitte rechts innerhalb der Darstellung monogrammiert', 'unterhalb der Darstellung bezeichnet', 'unten rechts innerhalb der Darstellung nummeriert'][]
29735DE-MUS-027614/lido/60390https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/60390/111447Druckgraphik; DruckgraphikHolzschnitt; Holzschnitt (Druckverfahren)16. Jahrhundert1501.01600.0NaNDürer, AlbrechtNaNFormschneider1471-05-211528-04-06BremenBildnis Ferdinand II.; Ferdinand II. Römischer Kaiser [Klugkist-Verzeichnis VIII]Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1851/2067['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']60390['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/60390']Herstellung['Holzschnitt']['unten links von fremder Hand mit Bleistift bezeichnet', 'unten rechts von fremder Hand mit Bleistift bezeichnet'][]
29736DE-MUS-027614/lido/60657https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/60657/110392Druckgraphik; DruckgraphikNaN1828-18511828.01851.0NaNWalther, Johann PhilippNaNStecher17981868BremenAlbrecht Dürer wird von den Malern zu Antwerpen festlich bewirthet, aus: "Leben des Albrecht Dürer"; Dürer in Antwerpen; Dürers Bildniß in ganzer Figur [Klugkist-Verzeichnis II]Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1851/179['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']60657['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/60657']Herstellung['Kupferstich, koloriert']['oben Mitte innerhalb der Darstellung monogrammiert', 'unten Mitte betitelt', 'unten Mitte bezeichnet', 'unten Mitte bezeichnet', 'unten rechts unter Darstellung signiert', 'unten links unterhalb der Darstellung bezeichnet'][]
29737DE-MUS-027614/lido/60656https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/60656/110364Druckgraphik; DruckgraphikNaN1828-18511828.01851.0NaNWalther, Johann PhilippNaNStecher17981868BremenDürers Vermählung mit Agnes Frey, aus: "Leben des Albrecht Dürer"; Dürers Vermählung; Dürers Bildniß in ganzer Figur [Klugkist-Verzeichnis II]Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1851/178['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']60656['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/60656']Herstellung['Kupferstich, koloriert']['unten links unterhalb der Darstellung bezeichnet', 'unten Mitte bezeichnet', 'unten Mitte bezeichnet', 'unten rechts unterhalb der Darstellung signiert', 'unten Mitte betitelt'][]
29738DE-MUS-027614/lido/82028https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/82028/126457Druckgraphik; DruckgraphikLithographie; Lithographie (Druckverfahren)19301930.01930.0Monika von Tagaste (oder Ostia), Mutter des Augustinus; mögliche Attribute: schwarzes Kleid mit weißem Schleier oder weißer Guimpe, Buch, Kruzifix, Rosenkranz; Heilige (weiblich)Bonnard, PierreNaNLithograph1867-10-031947-01-27BremenSainte Monique, aus: "Leben der heiligen Monique"Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1955/240['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']82028['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/82028']Herstellung['Lithographie']['unten links: Kunsthalle Bremen; Lugt 292', 'unten rechts monogrammiert'][]
29739DE-MUS-027614/lido/82029https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/82029/126465Druckgraphik; DruckgraphikRadierung; Radierung (Druckverfahren)19301930.01930.0Monika von Tagaste (oder Ostia), Mutter des Augustinus; mögliche Attribute: schwarzes Kleid mit weißem Schleier oder weißer Guimpe, Buch, Kruzifix, Rosenkranz; Heilige (weiblich)Bonnard, PierreNaNRadierer1867-10-031947-01-27BremenSainte Monique: Mädchen mit aufgestütztem Kopf, aus: "Leben der heiligen Monique"Druckgraphik; Druckgraphikhttp://creativecommons.org/publicdomain/mark/1.0/1951/1['Kunsthalle Bremen', 'Bremen, Kunsthalle Bremen', 'Kunsthalle Bremen', 'Kunsthalle Bremen']82029['https://onlinekatalog.kunsthalle-bremen.de/DE-MUS-027614/object/82029']Herstellung['Radierung']['unten links: Kunsthalle Bremen; Lugt 292', 'unten links monogrammiert'][]